About
I am currently a PhD candidate in computer vision at the University of Paris-Saclay. I work on Sign Language translation with Annelies Braffort, Michèle Gouiffès, Gül Varol and Andrew Zisserman. I am interested in applications of machine learning with social impact and would like to work in the high-tech manufacturing industry. I also love teaching mathematics/statistics-related classes.
Prior to my PhD, I graduated from the MVA program at the ENS Paris-Saclay. I also studied mathematics and econometrics, and spent 2 years working as a Data Scientist in a software start-up.
Publications
Momeni, L.*, Bull, H.*, Prajwal, K R*, Albanie, S., Varol, G. Zisserman, A. (2022). Automatic dense annotation of large-vocabulary sign language videos. In ECCV.
Albanie, S.*, Varol, G.*, Momeni, L.*, Bull, H.*, Afouras, T., Chowdhury, H., Fox, N., Woll, B., Cooper, R., McParland, A., Zisserman, A. (2021). BBC-Oxford British Sign Language Dataset.
Bull, H.*, Afouras, D*., Varol, G., Albanie, S., Momeni, L. & Zisserman, A. (2021). Aligning Subtitles in Sign Language Video. In ICCV.
Provenzano, S. & Bull, H. (2021). The Local Economic Impact of Mineral Mining in Africa: Evidence from Four Decades of Satellite Imagery. Forthcoming.
Bull, H., Gouiffès, M. & Braffort, A. (2020). Automatic Segmentation of Sign Language into Subtitle-Units. In ECCV Workshop Proceedings (SLRTP Best Paper Award).
Bull, H., Braffort, A. & Gouiffès, M. (2020). MEDIAPI-SKEL - A 2D-Skeleton Video Database of French Sign Language With Aligned French Subtitles. In LREC.
Teaching
Semester 2 2018/2019, 2019/2020, 2020/2021: Machine learning in economics (Paris School of Economics) - with Philipp Ketz
Semester 2 2019/2020: Machine learning in economics (University of Kassel)
Semester 2 2018/2019: Machine learning in economics (University of Hanover)
Semester 1 2018/2019, 2019/2020: Introduction to R (Paris School of Economics)
Summer 2018: Introduction to Machine Learning using the R package SuperLearner (Summer School organised by Colombia University)
Semester 1 2016/2017, 2017/2018, 2018/2019: Advanced Econometrics (SciencesPo Paris)
2015/2016: Mathematics and Statistics Tutorials (Paris 2 - Panthéon-Assas)
Semester 1 2014: Mathematics tutorials (Australian National University)
Coursework
The classes I took under the MVA program are: Deep learning (3 courses), Object recognition and computer vision, Deformable models and geodesic methods for image analysis, Advanced methods for text and graph data, Algorithms for speech and natural language processing, Topological data analysis, Introduction to medical imagery, Remote sensing data, Audio signal analysis, Reinforcement learning, Convex analysis, Probablistic graphical models, Kernel methods for machine learning, Theoretical foundations of deep learning.
Artwork
Some of my paintings can be found here.
Hobbies
At the moment I’m working on pushing my endurance limits in trail running.